Triple
T9050818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Periods of Revelation |
E216877
|
entity |
| Predicate | secondPeriodName |
P86089
|
FINISHED |
| Object | Second Period of Revelation |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Second Period of Revelation | Statement: [Three Periods of Revelation, secondPeriodName, Second Period of Revelation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondPeriodName Context triple: [Three Periods of Revelation, secondPeriodName, Second Period of Revelation]
-
A.
secondPhase
Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
-
B.
secondStage
Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
-
C.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
-
D.
secondPartSubject
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
-
E.
secondTermStartYear
Indicates the calendar year in which an entity’s second term in a role, office, or position begins.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f4f1cb48190a025d1b3d8d7a790 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:10 p.m.